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medsiglip-448-ft-vindr
aysangh/medsiglip-448-ft-vindr
medsiglip-448-ft-vindr is a zero-shot image classification model from aysangh. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers
- License
- other
- Model type
- siglip
- Access
- Public
- Created
- Oct 8, 2025
- Updated
- Nov 2, 2025
- SHA
- c98309e4
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
medsiglip-448-ft-vindr
This model is a fine-tuned version of google/medsiglip-448 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9991
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 300
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.0838 | 0.4938 | 100 | 4.0413 |
| 2.9516 | 0.9877 | 200 | 3.9161 |
| 2.9046 | 1.4790 | 300 | 4.0662 |
| 2.8929 | 1.9728 | 400 | 4.0390 |
| 2.8176 | 2.4642 | 500 | 3.9496 |
| 2.7783 | 2.9580 | 600 | 3.9971 |
| 2.6967 | 3.4494 | 700 | 4.0185 |
| 2.6829 | 3.9432 | 800 | 3.9991 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- siglip
- License
- other
- Created
- Oct 8, 2025
- Updated
- Nov 2, 2025